{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WebKB 数据集处理"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "老规矩，先导包。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt\n",
    "from pathlib import Path as P\n",
    "import scipy.io as sio\n",
    "import numpy as np\n",
    "import scipy.sparse as sp\n",
    "from dataclasses import dataclass\n",
    "from sklearn.metrics.pairwise import pairwise_distances"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "@dataclass\n",
    "class DataDir:\n",
    "\n",
    "    root: P\n",
    "    name: str\n",
    "    name_lower: str\n",
    "    my_root: P\n",
    "    txt_files: list\n",
    "    mtx_files: list\n",
    "\n",
    "    def __init__(self, root: P, name: str):\n",
    "        self.root = root\n",
    "        self.name = name\n",
    "        self.my_root = root.joinpath(name).joinpath(name)\n",
    "        assert self.my_root.is_dir()\n",
    "        self.name_lower = name.lower()\n",
    "\n",
    "        # filepaths\n",
    "        self.txt_files = list(self.my_root.glob('*.txt'))\n",
    "        self.mtx_files = list(self.my_root.glob('*.mtx'))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "ALL_DATA_NAMES = ['Washington', 'Wisconsin', 'Cornell', 'Texas']\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "ROOT = P('.').absolute()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "ALL_DATA_DIRS = [DataDir(ROOT, name) for name in ALL_DATA_NAMES]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[DataDir(root=WindowsPath('d:/Work/codebase/DatasetDIY/WebKB'), name='Washington', name_lower='washington', my_root=WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Washington/Washington'), txt_files=[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Washington/Washington/documents-mapping.txt'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Washington/Washington/labels.txt'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Washington/Washington/washington_act.txt')], mtx_files=[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Washington/Washington/washington_cites.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Washington/Washington/washington_content.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Washington/Washington/washington_inbound.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Washington/Washington/washington_outbound.mtx')]),\n",
       " DataDir(root=WindowsPath('d:/Work/codebase/DatasetDIY/WebKB'), name='Wisconsin', name_lower='wisconsin', my_root=WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin'), txt_files=[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/documents-mapping.txt'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/labels.txt'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_act.txt')], mtx_files=[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_cites.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_content.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_inbound.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_outbound.mtx')]),\n",
       " DataDir(root=WindowsPath('d:/Work/codebase/DatasetDIY/WebKB'), name='Cornell', name_lower='cornell', my_root=WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Cornell/Cornell'), txt_files=[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Cornell/Cornell/cornell_act.txt'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Cornell/Cornell/documents-mapping.txt'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Cornell/Cornell/labels.txt')], mtx_files=[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Cornell/Cornell/cornell_cites.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Cornell/Cornell/cornell_content.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Cornell/Cornell/cornell_inbound.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Cornell/Cornell/cornell_outbound.mtx')]),\n",
       " DataDir(root=WindowsPath('d:/Work/codebase/DatasetDIY/WebKB'), name='Texas', name_lower='texas', my_root=WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Texas/Texas'), txt_files=[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Texas/Texas/documents-mapping.txt'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Texas/Texas/labels.txt'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Texas/Texas/texas_act.txt')], mtx_files=[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Texas/Texas/texas_cites.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Texas/Texas/texas_content.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Texas/Texas/texas_inbound.mtx'), WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Texas/Texas/texas_outbound.mtx')])]"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ALL_DATA_DIRS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Wisconsin'"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datadir = ALL_DATA_DIRS[1]\n",
    "datadir.name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_cites.mtx'),\n",
       " WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_content.mtx'),\n",
       " WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_inbound.mtx'),\n",
       " WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_outbound.mtx')]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datadir.mtx_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/documents-mapping.txt'),\n",
       " WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/labels.txt'),\n",
       " WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_act.txt')]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datadir.txt_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<265x265 sparse matrix of type '<class 'numpy.int64'>'\n",
       "\twith 938 stored elements in COOrdinate format>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X1 = sio.mmread(datadir.mtx_files[0])\n",
    "X1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<265x1703 sparse matrix of type '<class 'numpy.int64'>'\n",
       "\twith 25479 stored elements in COOrdinate format>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X2 = sio.mmread(datadir.mtx_files[1])\n",
    "X2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_labels(file: P):\n",
    "    data = file.read_text().splitlines()\n",
    "    data = list(map(int, data))\n",
    "    return np.array(data, dtype=int)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = read_labels(datadir.txt_files[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1fed30242b0>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWAAAAFgCAYAAACFYaNMAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjQuMywgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/MnkTPAAAACXBIWXMAAAsTAAALEwEAmpwYAAAS3UlEQVR4nO3df7ClBX3f8fdHFtREE1TuULo/Ch2ZNMSJlW4ogYxDpT82xgHbUsBJFAx2SWMSLZ34I5kp085kJplmEk3aKluwYktwKZGCRkkIYpwOFbsQKyia7hgIC+gu/sC0dmLXfPvHeZDrzS57cvc8z/fuve/XzJ0953mec57vPux9c+5zftxUFZKk6T2rewBJ2qgMsCQ1McCS1MQAS1ITAyxJTTZ1D3A0duzYUbfffnv3GJJ0JDnUwmP6EfATTzzRPYIkrdoxHWBJOpYZYElqYoAlqYkBlqQmBliSmhhgSWpigCWpiQGWpCYGWJKaGGBJamKAJamJAZakJgZYkpoYYElqYoCldW7z1m0kWdjX5q3buv9K68Yx/YHsko7ssX2PcMk1dy/s/nZfec7C7mujG+0RcJL3JNmf5IFly/5Nks8l+XSSW5KcuGzd25PsTfL5JP9grLkkaa0Y8xTEe4EdK5bdAbykqn4Q+CPg7QBJzgAuBX5guM2/T3LciLNJUrvRAlxVHwe+smLZ71XVweHqJ4Atw+ULgfdX1Z9V1R8De4GzxppNktaCzifhfhL4yHB5M/DIsnX7hmV/QZKdSfYk2XPgwIGRR5Sk8bQEOMkvAgeBG/6yt62qXVW1vaq2Ly0tLX44SZrI5K+CSHI58Crg/KqqYfGjwNZlm20ZlknSujXpI+AkO4C3ABdU1TeWrboNuDTJs5OcBpwOfHLK2SRpaqM9Ak5yI3AecFKSfcDVzF718GzgjiQAn6iqn6qqzyS5Cfgss1MTb6yqb401myStBaMFuKpec4jF1z3D9r8E/NJY80jSWuNbkSWpiQGWpCYGWJKaGGBJamKAJamJAZakJgZYkpoYYElqYoAlqYkBlqQmBliSmhhgSWpigCWpiQGWpCYGWJKaGGBJamKAJamJAZakJgZYkpoYYElqYoAlqYkBlqQmBliSmhhgSWpigCWpiQGWpCYGWJKaGGBJamKAJamJAZakJgZYkpoYYElqYoAlqYkBlqQmBliSmhhgSWpigCWpiQGWpCYGWJKaGGBJamKAJanJaAFO8p4k+5M8sGzZC5PckeR/DX++YFieJL+RZG+STyc5c6y5JGmtGPMR8HuBHSuWvQ24s6pOB+4crgP8KHD68LUTeNeIc0nSmjBagKvq48BXViy+ELh+uHw98Oply99XM58ATkxyylizSdJaMPU54JOr6vHh8heBk4fLm4FHlm23b1j2FyTZmWRPkj0HDhwYb1JJGlnbk3BVVUCt4na7qmp7VW1fWloaYTJJmsbUAf7SU6cWhj/3D8sfBbYu227LsEyS1q2pA3wbcNlw+TLg1mXLXze8GuJs4MllpyokaV3aNNYdJ7kROA84Kck+4Grgl4GbklwBPAxcPGz+YeCVwF7gG8Drx5pLktaK0QJcVa85zKrzD7FtAW8caxZJWot8J5wkNTHAktTEAEtSEwMsSU0MsCQ1McCS1MQAS1ITAyxJTQywJDUxwJLUxABLUhMDLElNDLAkNTHAktTEAEtSEwMsSU0MsCQ1McCS1MQAS1ITAyxJTQywJDUxwJLUxABLUhMDLElNDLAkNTHAktTEAEtSEwMsSU0MsCQ1McCS1MQAS1ITAyxJTQywJDUxwJLUxABLUhMDLElNDLAkNTHAktTEAEtSEwMsSU0MsCQ1aQlwkn+e5DNJHkhyY5LnJDktyT1J9ibZneSEjtkkaSqTBzjJZuDngO1V9RLgOOBS4FeAX6+qFwNfBa6YejZJmlLXKYhNwHOTbAK+C3gceAVw87D+euDVPaNJ0jQmD3BVPQr8KvAnzML7JHAv8LWqOjhstg/YfKjbJ9mZZE+SPQcOHJhiZEkaRccpiBcAFwKnAX8V+G5gx7y3r6pdVbW9qrYvLS2NNKUkja/jFMTfBf64qg5U1f8DPgCcC5w4nJIA2AI82jCbJE2mI8B/Apyd5LuSBDgf+CxwF3DRsM1lwK0Ns0nSZDrOAd/D7Mm2+4D7hxl2AW8FrkqyF3gRcN3Us0nSlDYdeZPFq6qrgatXLP4CcFbDOJLUwnfCSVITAyxJTQywJDUxwJLUxABrQ9i8dRtJFvq1eeu27r+WjnEtr4KQpvbYvke45Jq7F3qfu688Z6H3p43HR8CS1MQAS1ITAyxJTQywJDUxwJLUxABLUhMDLElNDLAkNTHAktTEAEtSEwMsSU0MsCQ1McCS1MQAS1ITAyxJTQywJDWZK8BJzp1nmSRpfvM+Av7NOZdJkub0jL+SKMkPA+cAS0muWrbqe4DjxhxMkta7I/1OuBOA5w3bPX/Z8q8DF401lCRtBM8Y4Kr6A+APkry3qh6eaCZJ2hDm/a3Iz06yCzh1+W2q6hVjDCVJG8G8Af4vwLuBa4FvjTeOJG0c8wb4YFW9a9RJJGmDmfdlaB9M8tNJTknywqe+Rp1Mkta5eR8BXzb8+fPLlhXw1xc7jiRtHHMFuKpOG3sQSdpo5gpwktcdanlVvW+x40jSxjHvKYgfWnb5OcD5wH2AAZakVZr3FMTPLr+e5ETg/WMMJEkbxWo/jvL/AJ4XlqSjMO854A8ye9UDzD6E5/uBm8YaSpI2gnnPAf/qsssHgYerat8I80jShjHXKYjhQ3k+x+wT0V4AfHPMoSRpI5j3N2JcDHwS+CfAxcA9Sfw4Skk6CvOegvhF4Ieqaj9AkiXg94GbV7PT4VUU1wIvYXZu+SeBzwO7mX3i2kPAxVX11dXcvyQdC+Z9FcSznorv4Mt/idseyjuB26vqbwAvBR4E3gbcWVWnA3cO1yVp3Zr3EfDtSX4XuHG4fgnw4dXsMMn3Ai8HLgeoqm8C30xyIXDesNn1wMeAt65mH5J0LDjS74R7MXByVf18kn8E/Miw6r8DN6xyn6cBB4D/mOSlwL3Am4b9PD5s80Xg5MPMtBPYCbBt27ZVjiBJ/Y50GuEdzH7/G1X1gaq6qqquAm4Z1q3GJuBM4F1V9TJmb+r4jtMNVVU8/bpjVqzbVVXbq2r70tLSKkeQpH5HCvDJVXX/yoXDslNXuc99wL6qume4fjOzIH8pySkAw5/7D3N7SVoXjhTgE59h3XNXs8Oq+iLwSJLvGxadD3wWuI2nP3f4MuDW1dy/JB0rjvQk3J4k/7Sq/sPyhUnewOzc7Wr9LHBDkhOALwCvZ/Y/g5uSXAE8zOz1xpK0bh0pwG8Gbkny4zwd3O3ACcA/XO1Oq+pTw/2sdP5q71OSjjXPGOCq+hJwTpK/w+xNEwC/U1UfHX0ySVrn5v084LuAu0aeRZI2lKN5N5sk6SgYYElqYoAlqYkBlqQmBliSmhhgSWpigCWpiQGWpCYGWJKaGGBJamKAJamJAZakJgZYkpoYYElqYoAlqYkBlqQmBliSmhhgSWpigCWpiQGWpCYGWJKaGGBJamKAJamJAZakJgZYkpoYYElqYoAlqYkBlqQmBliSmhhgSWpigCWpiQGWpCYGWJKaGGBJamKAJamJAZakJgZYkpoYYElqYoAlqUlbgJMcl+QPk3xouH5aknuS7E2yO8kJXbNJ0hQ6HwG/CXhw2fVfAX69ql4MfBW4omUqSZpIS4CTbAF+DLh2uB7gFcDNwybXA6/umE2SptL1CPgdwFuAPx+uvwj4WlUdHK7vAzYf6oZJdibZk2TPgQMHRh9UksYyeYCTvArYX1X3rub2VbWrqrZX1falpaUFTydJ09nUsM9zgQuSvBJ4DvA9wDuBE5NsGh4FbwEebZhNkiYz+SPgqnp7VW2pqlOBS4GPVtWPA3cBFw2bXQbcOvVskjSltfQ64LcCVyXZy+yc8HXN80jSqDpOQXxbVX0M+Nhw+QvAWZ3zSNKU1tIjYEnaUAywJDUxwJLUxABLUhMDLElNDLAkNTHAktTEAG8gm7duI8lCvzZv3db915KOWa1vxNC0Htv3CJdcc/dC73P3lecs9P6kjcRHwJLUxABLUhMDLElNDLAkNTHAktTEAEtSEwMsSU0MsCQ1McCS1MQAS1ITAyxJTQywJDUxwJLUxABLUhMDLElNDLAkNTHAktTEAEtSEwMsSU0MsCQ1McCS1MQAS1ITAyxJTQywJDUxwJLUxABLUhMDLElNDLAkNTHAktTEAEtSEwMsSU02ZIA3b91GkoV+bd66rfuvJekYs2nqHSbZCrwPOBkoYFdVvTPJC4HdwKnAQ8DFVfXVMWZ4bN8jXHLN3Qu9z91XnrPQ+5O0/nU8Aj4I/IuqOgM4G3hjkjOAtwF3VtXpwJ3DdUlatyYPcFU9XlX3DZf/FHgQ2AxcCFw/bHY98OqpZ5OkKbWeA05yKvAy4B7g5Kp6fFj1RWanKCRp3WoLcJLnAb8NvLmqvr58XVUVs/PDh7rdziR7kuw5cODABJNK0jhaApzkeGbxvaGqPjAs/lKSU4b1pwD7D3XbqtpVVduravvS0tI0A0vSCCYPcJIA1wEPVtWvLVt1G3DZcPky4NapZ5OkKU3+MjTgXOC1wP1JPjUs+wXgl4GbklwBPAxc3DCbJE1m8gBX1X8DcpjV5085iyR12pDvhJOktcAAS1ITAyxJTQywJDUxwJLUxABLUhMDLElNDLAkNTHAktTEAEtSEwMsSU0MsCQ1McCS1MQAS1ITAyxJTQywJDUxwJLUxABLUhMDLElNDLAkNTHAktalzVu3kWShX5u3blvojB2/ll6SRvfYvke45Jq7F3qfu688Z6H35yNgSWpigCWpiQGWpCYGWJKaGGBJamKAJamJAZakJgZYkpoYYElqYoAlqYkBlqQmBliSmhhgSWpigCWpiQGWpCYGWJKaGGBJamKAJamJAZakJgZYkpqsuQAn2ZHk80n2Jnlb9zySNJY1FeAkxwH/DvhR4AzgNUnO6J1KksaxpgIMnAXsraovVNU3gfcDFzbPJEmjSFV1z/BtSS4CdlTVG4brrwX+dlX9zLJtdgI7h6vfB3x+Fbs6CXjiKMddBOdYWzOAc6zkHN9ptXM8UVU7Vi7cdPTzTKuqdgG7juY+kuypqu0LGsk51skMzuEcU8+x1k5BPApsXXZ9y7BMktadtRbg/wGcnuS0JCcAlwK3Nc8kSaNYU6cgqupgkp8Bfhc4DnhPVX1mhF0d1SmMBXKOp62FGcA5VnKO77TQOdbUk3CStJGstVMQkrRhGGBJarJuA5zkPUn2J3ngMOuT5DeGtzx/OsmZTXOcl+TJJJ8avv7lCDNsTXJXks8m+UySNx1im9GPx5xzTHE8npPkk0n+5zDHvzrENs9Osns4HvckObVpjsuTHFh2PN6w6DmW7eu4JH+Y5EOHWDf68ZhzjkmOR5KHktw/7GPPIdYv5vulqtblF/By4EzggcOsfyXwESDA2cA9TXOcB3xo5GNxCnDmcPn5wB8BZ0x9POacY4rjEeB5w+XjgXuAs1ds89PAu4fLlwK7m+a4HPi3Yx6PZfu6CvitQx3/KY7HnHNMcjyAh4CTnmH9Qr5f1u0j4Kr6OPCVZ9jkQuB9NfMJ4MQkpzTMMbqqeryq7hsu/ynwILB5xWajH4855xjd8Hf838PV44evlc9GXwhcP1y+GTg/SRrmmESSLcCPAdceZpPRj8ecc6wVC/l+WbcBnsNm4JFl1/fREIPBDw8/hn4kyQ+MuaPhR8eXMXu0tdykx+MZ5oAJjsfwY+6ngP3AHVV12ONRVQeBJ4EXNcwB8I+HH3NvTrL1EOsX4R3AW4A/P8z6SY7HHHPANMejgN9Lcm9mH3+w0kK+XzZygNeK+4C/VlUvBX4T+K9j7SjJ84DfBt5cVV8faz9HOcckx6OqvlVVf5PZuy3PSvKSMfazgDk+CJxaVT8I3MHTj0IXJsmrgP1Vde+i73uEOUY/HoMfqaozmX0y4xuTvHyMnWzkAK+Jtz1X1def+jG0qj4MHJ/kpEXvJ8nxzKJ3Q1V94BCbTHI8jjTHVMdj2f6+BtwFrPyglG8fjySbgO8Fvjz1HFX15ar6s+HqtcDfGmH35wIXJHmI2ScQviLJf16xzRTH44hzTHQ8qKpHhz/3A7cw+6TG5Rby/bKRA3wb8Lrh2cyzgSer6vGph0jyV546l5bkLGb/TRb6D3u4/+uAB6vq1w6z2ejHY545JjoeS0lOHC4/F/h7wOdWbHYbcNlw+SLgozU8+zLlHCvOK17A7Lz5QlXV26tqS1WdyuwJto9W1U+s2Gz04zHPHFMcjyTfneT5T10G/j6w8lVMC/l+WVNvRV6kJDcye0b9pCT7gKuZPclBVb0b+DCzZzL3At8AXt80x0XAP0tyEPi/wKWL/ofN7JHFa4H7h/ONAL8AbFs2xxTHY545pjgepwDXZ/YLAJ4F3FRVH0ryr4E9VXUbs/9R/Kcke5k9iXrpgmeYd46fS3IBcHCY4/IR5jikhuMxzxxTHI+TgVuGxwGbgN+qqtuT/BQs9vvFtyJLUpONfApCkloZYElqYoAlqYkBlqQmBliSmhhgSWpigCWpyf8HlCiECwrXBIcAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(265,)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "sort_idx = np.argsort(labels)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
       "       3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
       "       3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
       "       3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,\n",
       "       3, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
       "       4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
       "       4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
       "       4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
       "       4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4,\n",
       "       4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 4, 5, 5, 5, 5, 5, 5, 5, 5, 5,\n",
       "       5])"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels[sort_idx]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[0, 1, 0, ..., 0, 1, 0],\n",
       "        [0, 0, 0, ..., 0, 0, 0],\n",
       "        [0, 0, 0, ..., 0, 0, 0],\n",
       "        ...,\n",
       "        [0, 0, 0, ..., 0, 0, 0],\n",
       "        [0, 0, 0, ..., 0, 0, 0],\n",
       "        [0, 0, 0, ..., 0, 0, 0]], dtype=int64)"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X1.todense()[sort_idx, :]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "matrix([[0, 1, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,\n",
       "         0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0]], dtype=int64)"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X1.todense()[0, :]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 看看这些图是不是有向图"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_cites.mtx'),\n",
       " WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_content.mtx'),\n",
       " WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_inbound.mtx'),\n",
       " WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_outbound.mtx')]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "datadir.mtx_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "graph_files=np.array(datadir.mtx_files, dtype=object)[[0, 2, 3]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array([WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_cites.mtx'),\n",
       "       WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_inbound.mtx'),\n",
       "       WindowsPath('d:/Work/codebase/DatasetDIY/WebKB/Wisconsin/Wisconsin/wisconsin_outbound.mtx')],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "graph_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_cites=sio.mmread(graph_files[0])\n",
    "X_in=sio.mmread(graph_files[1])\n",
    "X_out=sio.mmread(graph_files[2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "def is_symmetric(A):\n",
    "    # 只要有一个非零元，就说明 A != A.T\n",
    "    # 说明 非对称。\n",
    "    try:\n",
    "        asym = (A != A.T).count_nonzero()\n",
    "    except:\n",
    "        asym = np.count_nonzero(A!=A.T)\n",
    "    return not asym\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(False, False, True)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "is_symmetric(X_in),is_symmetric(X_out),is_symmetric(X_cites)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<265x265 sparse matrix of type '<class 'numpy.bool_'>'\n",
       "\twith 0 stored elements in Compressed Sparse Row format>"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "X_cites != X_cites.T"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(X_cites.todense() != X_cites.T.todense()).any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(X_cites.todense())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "def reorder_graph(A, sort_idx):\n",
    "    # Only dense support []\n",
    "    if not isinstance(A, (np.ndarray, np.matrix)):\n",
    "        A = A.todense()\n",
    "    A = A[sort_idx, :][:, sort_idx]\n",
    "    return A\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "X_cites_reorder = reorder_graph(X_cites, sort_idx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'X_cites')"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1080x360 with 4 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig = plt.figure(figsize=(15, 5))\n",
    "sns.heatmap(X_cites_reorder, ax=plt.subplot(1, 2, 1))\n",
    "plt.title('X_cites_reorder')\n",
    "sns.heatmap(X_cites.todense(), ax=plt.subplot(1, 2, 2))\n",
    "plt.title('X_cites')\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Small Version\n",
    "\n",
    "我们只需要content和word两个视角和标签。\n",
    "\n",
    "\n",
    "## Large Version\n",
    "\n",
    "全部视角都包含，而且语义标签也包含。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "@dataclass\n",
    "class SmallData:\n",
    "    \"\"\"\n",
    "    Cite view\n",
    "    ---------\n",
    "\n",
    "    washington_cites.mtx -- \n",
    "\tthe matrix of the number of citation links between documents, in the Matrix Market coordinate format (sparse). It is the sum of washington_inbound.mtx and washington_outbound.mtx.\n",
    "\n",
    "    注意：\n",
    "    1. in-bound 是入边图，是有向图\n",
    "    2. out-bound 是出边图，是有向图\n",
    "    3. cite 是1. 2. 的和，是有向图\n",
    "    4. 我们取了3\n",
    "    \n",
    "    Content view\n",
    "    ------------\n",
    "\n",
    "    washington_content.mtx -- \n",
    "\tthe documents-words matrix, containing 0/1 values indicating absence/presence of a word in a document, in the Matrix Market coordinate format (sparse).\n",
    "\n",
    "    \"\"\"\n",
    "    content_view: sp.coo_matrix = None\n",
    "    cites_view: sp.coo_matrix = None\n",
    "    labels: np.ndarray = None\n",
    "    datadir: DataDir = None\n",
    "\n",
    "    def __init__(self, datadir: DataDir):\n",
    "        self.datadir = datadir\n",
    "\n",
    "        for file in datadir.mtx_files:\n",
    "            if 'cites' in file.name:\n",
    "                self.cites_view = file\n",
    "            elif 'content' in file.name:\n",
    "                self.content_view = file\n",
    "        for file in datadir.txt_files:\n",
    "            if 'act' in file.name:\n",
    "                self.labels = file\n",
    "\n",
    "        assert self.content_view\n",
    "        assert self.cites_view\n",
    "        assert self.labels\n",
    "\n",
    "        self.content_view = sio.mmread(self.content_view)\n",
    "        self.cites_view = sio.mmread(self.cites_view)\n",
    "        assert is_symmetric(self.cites_view)\n",
    "\n",
    "        self.labels = read_labels(self.labels)\n",
    "\n",
    "        # Reorder for better viz.\n",
    "        sort_idx = np.argsort(self.labels)\n",
    "        self.labels = self.labels[sort_idx]\n",
    "        # 这行改变了矩阵的对称性，可见对于图特征，不能简单地对行进行重排列。\n",
    "        self.content_view = self.content_view.todense()[sort_idx, :]\n",
    "        # 注意语法，这样不对：self.cite_view[sort_idx, sort_index]\n",
    "        self.cites_view = self.cites_view.todense()[sort_idx,:][:, sort_idx]\n",
    "        assert is_symmetric(self.cites_view)\n",
    "\n",
    "    def savemat(self, outdir: P):\n",
    "        file = outdir.joinpath(self.datadir.name).with_suffix('.mat')\n",
    "        sio.savemat(\n",
    "            str(file),\n",
    "            dict(\n",
    "                X1=self.cites_view,\n",
    "                X2=self.content_view,\n",
    "                X_names=np.array(['X1', 'X2'], dtype=object),  # 注意字符串列表的格式！\n",
    "                Y=self.labels),\n",
    "            do_compression=True)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = SmallData(datadir=datadir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(265, 265)"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.cites_view.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "False"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "(data.cites_view != data.cites_view.T).any()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.cites_view)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(265, 1703)"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.content_view.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "small_data_outdir = P('./Output/cite-content')\n",
    "small_data_outdir.mkdir(exist_ok=1, parents=1)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.savemat(small_data_outdir)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict_keys(['__header__', '__version__', '__globals__', 'X1', 'X2', 'X_names', 'Y'])"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mat = sio.loadmat(small_data_outdir.joinpath(datadir.name).with_suffix('.mat'),\n",
    "                  simplify_cells=True)\n",
    "mat.keys()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['X1', 'X2'], dtype=object)"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "mat['X_names']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Saving Washington\n",
      "Saving Wisconsin\n",
      "Saving Cornell\n",
      "Saving Texas\n"
     ]
    }
   ],
   "source": [
    "for dd in ALL_DATA_DIRS:\n",
    "    data = SmallData(dd)\n",
    "    data.savemat(small_data_outdir)\n",
    "    print(f'Saving {data.datadir.name}')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 可视化一下"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['Washington', 'Wisconsin', 'Cornell', 'Texas']"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ALL_DATA_NAMES"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = SmallData(ALL_DATA_DIRS[-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(187,)"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.labels.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Texas content view')"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.content_view)\n",
    "plt.title(f'{data.datadir.name} content view')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Texas cites view')"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(data.cites_view)\n",
    "plt.title(f'{data.datadir.name} cites view')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ssttfmd\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python39\\site-packages\\sklearn\\utils\\validation.py:585: FutureWarning: np.matrix usage is deprecated in 1.0 and will raise a TypeError in 1.2. Please convert to a numpy array with np.asarray. For more information see: https://numpy.org/doc/stable/reference/generated/numpy.matrix.html\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Texas cites view')"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(pairwise_distances(data.cites_view, metric='cosine'))\n",
    "plt.title(f'{data.datadir.name} cites view')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ssttfmd\\AppData\\Local\\Packages\\PythonSoftwareFoundation.Python.3.9_qbz5n2kfra8p0\\LocalCache\\local-packages\\Python39\\site-packages\\sklearn\\utils\\validation.py:585: FutureWarning: np.matrix usage is deprecated in 1.0 and will raise a TypeError in 1.2. Please convert to a numpy array with np.asarray. For more information see: https://numpy.org/doc/stable/reference/generated/numpy.matrix.html\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'Texas content view')"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(pairwise_distances(data.content_view, metric='cosine'))\n",
    "plt.title(f'{data.datadir.name} content view')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1fedeba6040>"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(data.labels)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 图可视化"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "- https://networkx.org/documentation/networkx-1.7/reference/generated/networkx.convert.from_numpy_matrix.html\n",
    "- "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [],
   "source": [
    "import networkx as nx"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "G = nx.from_scipy_sparse_matrix(X_cites, create_using=nx.Graph, edge_attribute='count')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "networkx.classes.reportviews.EdgeView"
      ]
     },
     "execution_count": 109,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(G.edges)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "networkx.classes.reportviews.NodeView"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(G.nodes)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [],
   "source": [
    "G.nodes[0]['label'] = 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'label': 1}"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.nodes[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'count': 1}"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.edges[0,1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "G.edges(data=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "NodeView((0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264))"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "G.nodes()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {},
   "outputs": [],
   "source": [
    "graph_outdir = P('./Output').joinpath('graph')\n",
    "graph_outdir.mkdir(parents=1,exist_ok=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [],
   "source": [
    "from networkx import nx_pydot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [],
   "source": [
    "nx_pydot.write_dot(G, graph_outdir.joinpath('test.dot'))"
   ]
  }
 ],
 "metadata": {
  "interpreter": {
   "hash": "2497819141e8ba68491e095adc461a03e742be7ecd39014decbc2aa0e30dc29f"
  },
  "kernelspec": {
   "display_name": "Python 3.9.10 64-bit (windows store)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.10"
  },
  "orig_nbformat": 4
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
